Evidence map›Paper›PMID 40809801›Full record

ArticleVeterinary medicine international2025

Variation in Four Horse Gait Categories Illustrated by Quantitative Analysis With ANALOC-E.

Elizabeth Ann Staiger, Adalton Pereira de Toledo, Victoria Rizzato Paschoal, Laura Patterson Rosa

Abstract read
In one paragraph

Article in Veterinary medicine international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Elizabeth Ann StaigerDepartment of Animal Science & Veterinary Technology, Texas A&M University, Kingsville, Texas, USA.ORCID https://orcid.org/0000-0002-5677-0798
Adalton Pereira de ToledoToledo Horse, São Paulo, São Paulo, Brazil.
Victoria Rizzato PaschoalDepartamento de Nutrição e Produção Animal, Faculdade de Medicina Veterinária e Zootecnia, Universidade de Sao Paulo, Pirassununga, São Paulo, Brazil.ORCID https://orcid.org/0000-0003-4313-5741
Laura Patterson RosaDepartment of Veterinary Clinical Sciences, Lewyt College of Veterinary Medicine, Long Island University, Brookville, New York, USA.ORCID https://orcid.org/0000-0001-5960-3883

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Horse gaits are a trait highly selected and prized in diverse breeds. Meanwhile, gait classification relies mostly on subjective visual observations by evaluators. Noninvasive equipment able to track locomotion in horses and output quantitative gait parameters is not only helpful in evaluating locomotion but also in designating gait types and its variations. Equine locomotion pattern designation based solely on observer evaluation can be subjective; therefore, utilizing tools that provide quantitative results and track individual limb movements, especially during intermediate-speed gaits, can result in increased phenotypic accuracy and better designation. A noninvasive automated locomotion analysis system (ANALOC-E) was used to acquire locomotion parameters in a small yet diverse set of 68 horses of 4 breeds. We aimed to evaluate kinematic variation in horse locomotion patterns for these 68 horses. Analysis demonstrates kinematic variation within breed-designated gaits. We also compared output parameters to previously described standards, as well as assessed principal component scores within the dataset. We illustrate two gait types not described by the previous standards (marcha de centro and marcha trotada) yet recognized by breed designations. Three parameters (lateral support, diagonal support, and triple support) can explain about 98.9% of the variance in gait types in this dataset. Results suggest that ANALOC-E could be used for locomotion analysis, but further validation is necessary to evaluate the accuracy of the system. Noninvasive technologies that encourage natural locomotion and output quantitative biomechanical/kinematic parameters may assist in real-time, accurate, locomotion descriptions.

Indexed as

gaitkinematicmarcha

Identifiers

PMID40809801
PMCPMC12349990

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.